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SLT-AI
Available on FriendliAI
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Model Details
Model Provider
SLT-AI
Model Tree
Qwen/Qwen2.5-0.5B
Input Modalities
Output Modalities
Supported Functionality
The model was fine-tuned on 7500 examples.
The dataset includes:
Training method: Supervised Fine-Tuning (SFT).
python
from transformers import AutoModelForCausalLM, AutoTokenizerimport torch model_name = "SLT-AI/SLT-0.5b-GoToSpeak" tokenizer = AutoTokenizer.from_pretrained(model_name)model = AutoModelForCausalLM.from_pretrained( model_name, torch_dtype=torch.bfloat16, device_map="auto") messages = [{"role": "user", "content": "Hello!"}]text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)inputs = tokenizer(text, return_tensors="pt").to(model.device) outputs = model.generate( **inputs, max_new_tokens=512, temperature=0.7, top_p=0.9) print(tokenizer.decode(outputs[0], skip_special_tokens=True))